Abstract
Medical implants are usually mass produced in fixed sizes, shapes and material properties. However, this process is not sustainable due to high levels of material wastage resulting from unused products because of the low demand of particular sizes. Furthermore, these modular implants are not optimized to specific patient's anatomy in terms of geometry, material composition and properties. This often leads to risk of injury, implant displacement, impairment of intended functions or even rejection by the host body, thus contributing to further healthcare costs, implants wastage and discomfort to patient. We have been investigating patient-specific design methods to tailor implant design and material composition to the patient's anatomy. With patient-specific implant modeled and simulated, rule-based methods, Genetic Algorithm (GA) and material knowledge bases are used to perform multi-objective optimization of the material composition for additive manufacturing. This method is investigated with reference to the design and fabrication of a patient-specific ENT implant.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
